IT Project Manager

H.W. Kaufman Group•Farmington Hills, MI

About The Position

The company is seeking two IT Project Managers to drive delivery of application development and technology projects and products. Reporting to the Project Management Office (PMO), the Project Managers turn business priorities into results by taking initiative, creating momentum, securing decisions, removing obstacles, and holding stakeholders accountable. Success is measured by moving work forward and achieving business outcomes, supported by effective planning and communication. The Project Manager partners with the Technical Delivery Manager, who owns engineering execution, technical delivery planning, and coordination of engineering work. The Project Manager organizes work around engineering by aligning business stakeholders, vendors, decisions, cross-team dependencies, resources, and business readiness. Together, they maintain a shared view of delivery priorities, risks, tradeoffs, and commitments. The role leads medium- to high-complexity technology projects from initiation through implementation and business acceptance. It also coordinates business and vendor needs, supports requirements and solution evaluation, manages project scope and resources, and oversees business readiness and implementation. The Project Manager uses approved AI tools and automation to simplify project administration and improve PMO processes, applying human review and following company requirements for information security, privacy, and responsible AI use. The H.W. Kaufman Group of companies is an equal opportunity employer and will make reasonable accommodations for known physical or mental limitations of otherwise qualified people with disabilities unless doing so would impose an undue hardship.

Requirements

Bachelor’s degree in computer science, information technology, business administration, or a related field, or equivalent work experience.
At least 7 years of project management experience delivering medium- to high-complexity projects.
At least 7 years of experience in information technology and business/industry.
Demonstrated success personally moving complex projects forward by securing decisions, removing obstacles, resolving dependencies, and recovering at-risk delivery.
Experience managing software product delivery and partnering effectively with technical or engineering delivery leaders.
Ability to lead through influence, constructively challenge assumptions, navigate competing priorities, and hold stakeholders accountable across organizational boundaries.
Strong judgment and problem-solving skills, including developing options, explaining tradeoffs, and recommending a practical course of action.
Applied understanding of Waterfall and Agile methodologies and the Systems Development Lifecycle (SDLC).
Experience facilitating Agile practices, including sprint planning and retrospectives, in partnership with technical delivery leadership.
Strong Jira knowledge, including planning, tracking, reporting, and workflow management.
Excellent communication, relationship-building, and presentation skills, including the ability to influence technical and non-technical stakeholders at all management levels.
Experience managing project financials, resources, vendors, and cross-functional commitments.

Nice To Haves

Experience improving PMO practices or leading AI adoption and workflow automation.
Practical experience using AI-enabled tools or automation to improve project delivery or business processes, with the ability to validate outputs and assess measurable benefits.
Project Management Professional (PMP) certification.
Experience with cross-functional Salesforce project management.

Responsibilities

Lead medium- to high-complexity technology projects from initiation through implementation and business acceptance, with clear commitments and measurable success criteria.
Translate business objectives into actionable delivery plans with defined outcomes, accountable owners, and realistic timelines.
Identify decision-makers, present options and tradeoffs, recommend a path forward, and follow through to secure timely decisions.
Coordinate across teams to resolve dependencies, negotiate commitments, and enable progress.
Identify and remove delivery obstacles; escalate issues with options, recommendations, and specific requests for support.
Develop and execute recovery options for at-risk delivery, assessing scope, timing, resource, and cost tradeoffs with the Technical Delivery Manager and business stakeholders.
Hold stakeholders, vendors, and project participants accountable for commitments and address missed commitments promptly and constructively.
Own business and vendor coordination, cross-functional dependencies, stakeholder alignment, and organizational readiness.
Work with business analysts to clarify requirements and help business customers evaluate solution options, costs, timelines, and readiness needs.
Secure agreement from sponsors and key stakeholders on scope, priorities, acceptance criteria, and deliverables.
Manage project scope, resources, finances, risks, and issues to support informed decisions and successful delivery.
Communicate progress through outcomes achieved, decisions needed, delivery risks, and actions underway.
Work with product managers and owners to create forward-looking plans and roadmaps connecting technology delivery to business value.
Coordinate business readiness and implementation activities, confirming ownership for adoption, operational handoffs, and measurement of intended benefits.
Use approved AI tools and automation to reduce manual effort in status reporting, meeting summaries, action tracking, documentation, and routine coordination.
Apply time saved through automation to problem-solving, decision-making, obstacle removal, and delivery team support.
Improve PMO processes by eliminating unnecessary meetings, reports, approvals, and duplicate data entry while preserving essential governance.
Develop scalable, repeatable practices, templates, and workflows that improve delivery effectiveness and simplify work.
Use AI-assisted analysis to identify potential risks, dependencies, and planning gaps, validating findings with reliable data and accountable stakeholders.
Partner with PMO leadership to pilot and scale improvements and measure administrative effort reduced, decision turnaround time, delivery predictability, and other relevant outcomes.
Review AI-generated outputs using human judgment and follow company requirements for information security, privacy, and responsible AI use.
Turn retrospectives and lessons learned into implemented improvements and help teams adopt more effective tools and practices.